Circulating Vehicle Fleet study City of Madrid (2013)

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1 Circulating Vehicle Fleet study City of Madrid (2013) Air Quality Workshop Polis Working Group on Environment & Health in Transport D.G. DE SOSTENIBILIDAD Y PLANIFICACIÓN DE LA MOVILIDAD Agencia de la Energía de la Ciudad de Madrid Madrid, 26th November 2014

2 Outline 1) Scope and general objectives 2) Design and methodology 3) Data gathering and processing 4) Results Fleet characteristics 5) Exploitation of results 6) Conclusions

3 Scope and general objectives Background Road Transport is main source of air pollutants and greenhouse gas emissions in Madrid Contribution trends, series NOx PM2,5 (Particulas en suspensión) 100% 100% contribución sobre las emisiones de NO X (%) 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% contribución sobre las emisiones de PM 2,5 (%) 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% año año G_02 G_03 G_04 G_05 G_06 G_07 G_08 G_09 G_10 G_11 G_02 G_03 G_04 G_05 G_06 G_07 G_08 G_09 G_10 G_11 53,7 % 63 % Emissions inventory 2012

4 Scope and general objectives AVAILABLE DATA FOR THE VEHICLE FLEET - Statistical site (DGT). E.g. Vehicle register data Data from municipal circulation tax

5 Scope and general objectives Circulating fleet study Vehicles actually moving through the streets of Madrid are assessed to produce a mileage distribution (vehicle-kilometer) according to: - Vehicle type (passenger cars, motorcycles, buses,etc. - Fuel (gasoline, diesel, NCG, etc.) - Vehicle age

6 Design and methodology

7 Design and methodology -Existing municipal traffic cameras 55 locations -Additional visual plate readings (13 locations) to ensure consistency and complete specific data groups (e.g. motorbikes)

8 Data gathering and processing Sampling period Monday 20th to Monday 27th May 2013 Sampling types -Automatic readings (55): - Red-light cameras (17) - M-30 Ring road (2) - Calle-30 tunnel (34) - AQ Campaign F.L. (2) - Visual readings (17) DATA GATHERING

9 Data gathering and processing Data gathering plate readings National Traffic Authority (DGT) different registers Municipal Bus Authority (EMT) READINGS DGT_DATA BUSES Circulating fleet Madrid City Hall Traffic model kms

10 Results Circulating fleet of vehicles by sector and zone

11 Results Summary of results

12 Results Summary of results

13 Results

14 Exploitation of results Passenger cars histogram - Average age = 9,3 years - Mode = 6,0 years Age (years) - Small differences between zones (VC = 5,5% )

15 Exploitation of results -El 81,9% de las lecturas corresponden a códigos postales de la Comunidad de Madrid, la mayor parte (53,4% del municipio de Madrid)

16 Exploitation of results - Municipal street parking system vehicle technology approach

17 Conclusions 1) This study has provided more reliable information regarding the quality of emissions inventory and aided in the decision making processes on mobility policy 2) Traffic is mainly composed of passenger cars (80,7%), mostly diesel powered (68,3%). Alternative fuels, hybrids and electrics remain negligible (<0,1%) 3) Only the 53% of the total vehicle-km driven in Madrid corresponds to owners registered in the municipality 4) This study can be considered an effective way to optimize public resources via coordination among different municipal services (EMT, Street 30, Traffic Management..) and government agencies

18 Thank you for your attention!

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